Relationship between Burden, Quality of Life and Difficulties of Informal Primary Caregivers in the Context of the COVID-19 Pandemic: Analysis of the Contributions of Public Policies.

The study aimed to characterize and understand the difficulties experienced by informal caregivers from a bio-psychosocial and environmental perspective, taking into account the socio-demographic and health characteristics of the informal caregiver and the person cared for, quality of life, perceived burden, social support, and the impact of the COVID-19 pandemic on the informal caregiver and the person cared for. The participants were 371 informal primary caregivers, 80.9% female, aged between 25 and 85 years, mean 53.17 (SD = 11.45) years. Only 16.4% of the informal caregivers benefited from monitoring and training for informal caregiver skills; 34.8% received information on the rights of the person being cared for; 7.8% received advice or guidance on the rights and duties of the informal caregiver; 11.9% of the caregivers benefited from psychological support; and 5.7% participated in self-help groups. A convenience sample was used, and data were collected via an online questionnaire. The main findings show that the major difficulties experienced by caregivers are related to social constraints, the demands of caring, and the reactions of the person cared for. The results reveal that the burden of the main informal caregivers is explained by the level of education, quality of life, level of dependence of the person cared for, level of difficulties, and social support. The COVID-19 pandemic impacted caregiving by increasing the perceived difficulty of accessing support services, such as consultations, services, and support; causing distress feelings in the caregiver, such as, anxiety and worry; increasing the needs and symptoms of the person cared for; and increasing the degree of isolation, for both, the informal caregiver and the person cared for.

Slums and pandemics.

How do slums shape the economic and health dynamics of pandemics? A difference-in-differences analysis using millions of mobile phones in Brazil shows that residents of overcrowded slums engaged in less social distancing after the outbreak of Covid-19. We develop and calibrate a choice-theoretic equilibrium model in which individuals are heterogeneous in income and some people live in high-density slums. Slum residents account for a disproportionately high number of infections and deaths and, without slums, deaths increase in non-slum neighborhoods. Policy analysis of reallocation of medical resources, lockdowns and cash transfers produce heterogeneous effects across groups. Policy simulations indicate that: reallocating medical resources cuts deaths and raises output and the welfare of both groups; mild lockdowns favor slum individuals by mitigating the demand for hospital beds, whereas strict confinements mostly delay the evolution of the pandemic; and cash transfers benefit slum residents to the detriment of others, highlighting important distributional effects.